Powerful Comparison Tools

Powerful Comparison Tools

Industry-leading tools for seamless follow-up study comparison.

Download Brochure - Image Fusion

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Display multiple studies in a single layout

Comparing post-treatment follow-up PET/CT scan to the pre-treatment scan could not be easier. UniSyn MI supports displaying multiple studies in a single layout so that you can perform head-to-head comparisons without switching between windows. Whether your comparing two or more studies, they can be managed in customizable layouts which arrange similar views alongside each other so that response can be assessed efficiently.

Automatic study alignment for synchronized stacking and triangulation

When multiple studies are displayed for comparison, UniSyn MI can synchronize the viewers of all the studies so that they stack, pan, zoom and triangulate together. In other words, UniSyn MI makes sure that viewers are showing the same region of the images across studies so that you can focus on what matters most. When you load multiple PET/CT studies for review, UniSyn MI will automatically perform a CT-CT registration so to facilitate synchronizing the studies. And if the studies seem misaligned in a specific area of the body, you can always adjust the synch-point as needed.

Copy volume-of-interest measurements across studies

Volumes-of-interest, or VOIs, measurements represent 3D regions where UniSyn MI can search for and display maximum SUV voxels. When you've loaded a baseline study with a set of VOI measurements with a follow-up scan for comparison, UniSyn MI will allow you to copy all the baseline VOIs to the later study to provide SUV measurements in the same anatomical regions. UniSyn MI will use the latest synchronization relationship between the studies to make the VOI placement as accurate as possible.

Support for loading DICOM REG objects

If you have access to DICOM registration objects that spatially map the images of the baseline study to those of a follow-up study, then they can be loaded with the image data into UniSyn MI to support study synchronization. It's important to note that UniSyn will never directly apply these transforms to the images and potentially risk distorting the original image data - it'll only use them to understand how the two studies are related to each other spatially.